Principal AI Engineer - Context - Agents and Context
Core
Building the knowledge layer for AI agents to work with enterprise data in Elasticsearch, including extraction, serving via APIs/MCP, and closing the loop with agent traces.
Role type
Principal AI Engineer (Agentic Systems & Evaluation)
Builds
Context Engine (knowledge layer for AI agents), public APIs, MCP tools, and evaluation frameworks.
Domain
Search AI, Enterprise Data, Agentic Workflows
Deliverable
production ML models | product features | dashboards & analysis
Required skills
AI-driven product engineering, eval-driven product improvement, agent building with state/memory, MCP familiarity, telemetry design for AI systems, product experimentation, public API/data model evolution, backend engineering (Python/TypeScript)
Preferred skills
LangGraph, CrewAI, Claude Agent SDK, agentic retrieval, Elasticsearch
Technologies
TypeScript, Python, Elasticsearch, MCP, LangChain
Responsibilities
Own the production improvement loop for extraction automations and retrieval tools; define safe iteration processes for agents and skills (versioning, rollout, guardrails); design telemetry for data-informed engineering decisions; partner with data science on evaluation strategy; mentor engineers and review technical proposals.
Seniority
Principal, hands-on IC with strategy & mentorship
